We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
1 parent 86b7087 commit 2bd608fCopy full SHA for 2bd608f
assignments/2023/assignment2.md
@@ -41,7 +41,7 @@ In this assignment you will practice writing backpropagation code, and training
41
- Implement **Batch Normalization** and **Layer Normalization** for training deep networks.
42
- Implement **Dropout** to regularize networks.
43
- Understand the architecture of **Convolutional Neural Networks** and get practice with training them.
44
-- Gain experience with a major deep learning framework, such as **TensorFlow** or **PyTorch**.
+- Gain experience with a major deep learning framework, **PyTorch**.
45
- Explore various applications of image gradients, including saliency maps, fooling images, class visualizations.
46
47
### Q1: Multi-Layer Fully Connected Neural Networks
0 commit comments